Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases.
Parkinson’s disease
biofeedback
force sensors
gait
inertial measurement unit
mild cognitive impairment
postural balance
rehabilitation
stroke
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
15 May 2021
15 May 2021
Historique:
received:
11
03
2021
revised:
03
05
2021
accepted:
12
05
2021
entrez:
2
6
2021
pubmed:
3
6
2021
medline:
5
6
2021
Statut:
epublish
Résumé
Wearable devices are used in rehabilitation to provide biofeedback about biomechanical or physiological body parameters to improve outcomes in people with neurological diseases. This is a promising approach that influences motor learning and patients' engagement. Nevertheless, it is not yet clear what the most commonly used sensor configurations are, and it is also not clear which biofeedback components are used for which pathology. To explore these aspects and estimate the effectiveness of wearable device biofeedback rehabilitation on balance and gait, we conducted a systematic review by electronic search on MEDLINE, PubMed, Web of Science, PEDro, and the Cochrane CENTRAL from inception to January 2020. Nineteen randomized controlled trials were included (Parkinson's
Identifiants
pubmed: 34063355
pii: s21103444
doi: 10.3390/s21103444
pmc: PMC8156914
pii:
doi:
Types de publication
Journal Article
Meta-Analysis
Review
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
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